Machine Learning: A Solution for Intrusion Detection

Abstract

Millions of users share resources and send and receive data daily through Internet. However, they are certainly at risk of data theft and other attacks due to this connectivity. Researchers are showing increasing trends in security related attacks. Network security has thus become one of the most active research fields. Intrusion Detection Systems (IDS) are commonly used for detection of attacks in a Network due to its ability to detect unknown attacks. Many techniques, ranging from statistical approaches to Artificial Intelligence (AI) based approaches have been presented in literature. AI based techniques have gained a lot of popularity in research community due to its various benefits. In this paper, we present a survey of Intrusion Detection Systems based on machine learning techniques.